Enhancing Small Language Models Reasoning through Knowledge Graph Grounding

Dimitrios Kelesis, Konstantinos Bougiatiotis, Georgios Paliouras

The paper proposes a neuro‑symbolic framework that equips small language models with knowledge‑graph grounding via fact extraction and RGCN‑based hints to improve multi‑hop reasoni…

Partially Trained Graph Convolutional Networks Resist Oversmoothing

Dimitrios Kelesis, Dimitris Fotakis, Georgios Paliouras

Detecting and analysing the topology of the cosmic web with spatial clustering algorithms I: Methods

Dimitrios Kelesis, Spyros Basilakos, Vicky Papadopoulou Lesta +2

Tree-based Focused Web Crawling with Reinforcement Learning

Andreas Kontogiannis, Dimitrios Kelesis, Vasilis Pollatos +2

Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools

Konstantinos Bougiatiotis, Dimitrios Kelesis, Georgios Paliouras

The paper proposes a Context‑Augmented Prompting framework that lets small language models query a graph neural network expert for structural hints and explanatory subgraphs, impro…

Analyzing the Effect of Embedding Norms and Singular Values to Oversmoothing in Graph Neural Networks

Dimitrios Kelesis, Dimitris Fotakis, Georgios Paliouras

Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks

Dimitrios Kelesis, Dimitris Fotakis, Georgios Paliouras